Job description

Data and Analytics Product Manager We’re looking for a Data, Analytics & AI Product Manager to support strategy, roadmap, and delivery of our enterprise data products — built on Snowflake as our cloud data platform and Tableau as our primary analytics and visualization layer — and to lead the productization of AI and machine learning capabilities across the business. You’ll partner with stakeholders across Commercial, Supply Chain, Product, Finance, and Operations to turn raw data into decision-ready insights and intelligent experiences. This role sits at the intersection of business strategy, data engineering, analytics, and applied AI. You’ll define what gets built, why it matters, and how success is measured — and you’ll champion the responsible adoption of AI to accelerate how Specialized runs and grows. What You’ll Do Own the product roadmap for our Snowflake-based data platform, Tableau analytics ecosystem, and AI/ML product portfolio (including GenAI use cases, predictive models, and embedded intelligence). Translate business needs into data and AI products — Tableau dashboards, Snowflake data marts and semantic models, ML-driven forecasts, recommendation engines, and GenAI assistants — by deeply understanding stakeholder workflows and decision points. Lead AI product strategy — identify high-value AI/ML opportunities, define use cases, partner with data science and engineering on model selection, and own the path from prototype to production. Define and prioritize the backlog for data engineering, analytics, and AI/ML teams, balancing strategic initiatives, technical debt, and reactive requests. Partner with data engineering and platform teams on Snowflake architecture decisions — warehouse sizing, cost governance, data sharing, role-based access, and Snowpark / Cortex adoption. Drive Tableau as the standard analytics experience — establish certified content, governed self-service patterns, performance standards, and adoption playbooks. Establish data and AI product standards — naming, documentation, SLAs, certification levels, model monitoring, evaluation criteria, and responsible AI guardrails. Champion data quality, governance, and AI safety in partnership with the data governance function — data contracts, master data alignment, model bias review, and human-in-the-loop design. Collaborate with PLM, ERP, and commercial system owners to ensure data and AI products integrate cleanly with core operational platforms. Drive adoption and measure impact — usage analytics in Tableau and Snowflake, AI model performance, and business outcomes tied to each product. Communicate roadmap, progress, and value to leadership and the broader business. What You’ll Bring Required 5 years of product management experience, with 3 focused on data, analytics, or AI/ML products. Demonstrated experience shipping at least one AI or ML product to production — predictive analytics, NLP, recommendation systems, or GenAI applications. Working knowledge of modern AI/ML concepts: model lifecycle, evaluation, prompt engineering, RAG architectures, and responsible AI principles. Strong working knowledge of modern data stacks — cloud data warehouses, ELT tooling ( dbt , Fivetran , or similar), semantic layers, and orchestration. Experience writing requirements that bridge business intent and technical implementation using Jira and Confluence Excellent stakeholder management across executive, functional, and technical audiences. Proven ability to prioritize ruthlessly in a high-demand, multi-stakeholder environment. Preferred Experience with Snowflake Cortex, Snowpark, or native AI/ML features on Snowflake. Familiarity with Tableau Pulse, Tableau AI, or embedded analytics patterns. Experience integrating LLMs (OpenAI, Anthropic, Azure OpenAI) into business applications. Background in consumer products, retail, manufacturing, or supply chain domains. Familiarity with master data management, data governance frameworks, and data mesh / data product principles. Background working with PLM, ERP (SAP, Oracle, or similar), or commercial platforms (Salesforce, e-commerce). Agile / Scrum certification or equivalent experience. BENEFITS As a full-time, regular teammate, you are eligible for the following benefits, beginning the first of the month following your start date. Benefits include: Competitive pay with annual performance-based reviews for continued growth and recognition Comprehensive healthcare plan options, including PPO, EPO, HDHP, and HMO (acupuncture and physical therapy included) Health Savings Account (HSA) with employer HSA contributions when enrolled in the High-Deductible Healthcare Plan (HDHP) Dental and Vision plans 401(k) Company Matching up to $5,000 annually with immediate 100% vesting and administrative fees paid for by the company Company-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance Employee Assistance Program that provides access to individualized mental well-being care Generous Vacation, Sick, Paid Holidays, and Volunteer Time Off 14 weeks of 100% paid leave for birthing parents and 8 weeks of 100% paid leave for non-birthing parents, plus a Specialized bike for your new baby Up to $9,000 annually in Career Development & Degree Assistance Up to $250 annually in Fitness & Wellness Reimbursement Industry Pro-Deal Discounts and Perks For additional information on benefits and perks, please visit:  benefits.specialized.com . PAY Below is a summary of compensation elements for this role at the company if based in the following locations: California Base Pay Range: ($100,000 $140,000 ) *At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location. We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone – especially those from marginalized groups – to apply to our job postings and help us earn the position as the rider’s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized! See what we are up to on LinkedIn , Instagram.

Requirements

Must-haves

What You’ll Do
Own the product roadmap for our Snowflake-based data platform, Tableau analytics ecosystem, and AI/ML product portfolio (including GenAI use cases, predictive models, and embedded intelligence).
Lead AI product strategy — identify high-value AI/ML opportunities, define use cases, partner with data science and engineering on model selection, and own the path from prototype to production.
Define and prioritize the backlog for data engineering, analytics, and AI/ML teams, balancing strategic initiatives, technical debt, and reactive requests.
Partner with data engineering and platform teams on Snowflake architecture decisions — warehouse sizing, cost governance, data sharing, role-based access, and Snowpark / Cortex adoption.
Drive Tableau as the standard analytics experience — establish certified content, governed self-service patterns, performance standards, and adoption playbooks.
Establish data and AI product standards — naming, documentation, SLAs, certification levels, model monitoring, evaluation criteria, and responsible AI guardrails.
Champion data quality, governance, and AI safety in partnership with the data governance function — data contracts, master data alignment, model bias review, and human-in-the-loop design.
Collaborate with PLM, ERP, and commercial system owners to ensure data and AI products integrate cleanly with core operational platforms.
Drive adoption and measure impact — usage analytics in Tableau and Snowflake, AI model performance, and business outcomes tied to each product.
Communicate roadmap, progress, and value to leadership and the broader business.
What You’ll Bring
5 years of product management experience, with 3 focused on data, analytics, or AI/ML products.
Demonstrated experience shipping at least one AI or ML product to production — predictive analytics, NLP, recommendation systems, or GenAI applications.
Working knowledge of modern AI/ML concepts: model lifecycle, evaluation, prompt engineering, RAG architectures, and responsible AI principles.
Strong working knowledge of modern data stacks — cloud data warehouses, ELT tooling ( dbt , Fivetran , or similar), semantic layers, and orchestration.
Experience writing requirements that bridge business intent and technical implementation using Jira and Confluence

Nice-to-haves

Experience with Snowflake Cortex, Snowpark, or native AI/ML features on Snowflake.
Familiarity with Tableau Pulse, Tableau AI, or embedded analytics patterns.
Experience integrating LLMs (OpenAI, Anthropic, Azure OpenAI) into business applications.
Background in consumer products, retail, manufacturing, or supply chain domains.
Familiarity with master data management, data governance frameworks, and data mesh / data product principles.
Background working with PLM, ERP (SAP, Oracle, or similar), or commercial platforms (Salesforce, e-commerce).
Agile / Scrum certification or equivalent experience.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmljiraazureagilescrum

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness